Systems and methods for vehicles resolving a standoff

Abstract

System, methods, and other embodiments described herein relate to resolving a standoff by a vehicle. In one embodiment, a method includes generating a happens-before relationship that explains events between the vehicle and other vehicles before the standoff. The standoff may be a dispute for a right of way between the vehicle and the other vehicles. The method also includes identifying the standoff using a causality relationship analysis according to the happens-before relationship. The method also includes generating a mitigation plan for the standoff that forms standoff solutions in association with the standoff being similar to a prior standoff. The method also includes resolving the standoff by causing vehicle maneuvers associated with the vehicle according to the standoff solutions.

What is claimed is: 
     
       1. A control system for resolving a standoff by a vehicle, comprising:
 one or more processors; 
 a memory communicably coupled to the one or more processors and storing: 
 a control module including instructions that when executed by the one or more processors cause the one or more processors to:
 generate a happens-before relationship that explains events between the vehicle and other vehicles before the standoff, wherein the standoff is a dispute for a right of way between the vehicle and the other vehicles; and 
 
 an analysis module including instructions that when executed by the one or more processors cause the one or more processors to:
 identify the standoff using a causality relationship analysis according to the happens-before relationship having vehicle routes with temporal features associated with the standoff; 
 generate a mitigation plan, using a machine learning model, for the standoff that forms standoff solutions in association with the standoff being similar to a prior standoff, the mitigation plan including a tree having node parameters that adapt to completion statuses for vehicle maneuvers associated with the standoff solutions; and 
 resolve the standoff by causing the vehicle maneuvers associated with the vehicle according to the standoff solutions. 
 
 
     
     
       2. The control system of  claim 1 , wherein the analysis module includes instructions to identify the standoff further including instructions to communicate other solutions for additional causality relationship analysis associated with tasks completed with the other vehicles using a vehicular micro-cloud for the standoff. 
     
     
       3. The control system of  claim 1 , wherein the analysis module includes instructions to generate the mitigation plan further including instructions to create the tree having adaptive steps of vehicle actions performed in association with the vehicle maneuvers using the machine learning model to form the standoff solutions. 
     
     
       4. The control system of  claim 3 , wherein the analysis module further includes instructions to update the tree upon completion of respective ones of the vehicle actions and communicating the tree to the other vehicles to resolve the standoff. 
     
     
       5. The control system of  claim 1 , wherein the analysis module further includes instructions to adapt the standoff solutions using the machine learning model according to vehicle actions rejected for the prior standoff to identify additional solutions to resolve the standoff. 
     
     
       6. The control system of  claim 1 , wherein the analysis module further includes instructions to analyze vehicle actions associated with the standoff solutions using a reinforcement learning model that rewards a vehicle action and provides a next vehicle action to resolve the standoff. 
     
     
       7. The control system of  claim 1 , wherein the analysis module further includes instructions to detect the standoff associated with the other vehicles using crowd-sourced data from a connected vehicle network to reduce a time to resolve the standoff. 
     
     
       8. The control system of  claim 1 , wherein the analysis module further includes instructions to collect additional data from the other vehicles, connected devices, an edge server, or a cloud server associated with a connected vehicle network on a condition that the standoff is unresolved and instructions to update a database with the standoff solutions according to the additional data. 
     
     
       9. A non-transitory computer-readable medium for resolving a standoff by a vehicle and including instructions that when executed by one or more processors cause the one or more processors to:
 generate a happens-before relationship that explains events between the vehicle and other vehicles before the standoff, wherein the standoff is a dispute for a right of way between the vehicle and the other vehicles; 
 identify the standoff using a causality relationship analysis according to the happens-before relationship having vehicle routes with temporal features associated with the standoff; 
 generate a mitigation plan, using a machine learning model, for the standoff that forms standoff solutions in association with the standoff being similar to a prior standoff, the mitigation plan including a tree having node parameters that adapt to completion statuses for vehicle maneuvers associated with the standoff solutions; and 
 resolve the standoff by causing the vehicle maneuvers associated with the vehicle according to the standoff solutions. 
 
     
     
       10. The non-transitory computer-readable medium of  claim 9 , wherein the instructions to identify the standoff further include instructions to communicate other solutions for additional causality relationship analysis associated with tasks completed with the other vehicles using a vehicular micro-cloud for the standoff. 
     
     
       11. The non-transitory computer-readable medium of  claim 9 , wherein the instructions to generate the mitigation plan further include instructions to create the tree having adaptive steps of vehicle actions performed in association with the vehicle maneuvers using the machine learning model to form the standoff solutions. 
     
     
       12. The non-transitory computer-readable medium of  claim 11  further including instructions that when executed by the one or more processors cause the one or more processors to update the tree upon completion of respective ones of the vehicle actions and communicating the tree to the other vehicles to resolve the standoff. 
     
     
       13. A method for resolving a standoff by a vehicle, the method comprising:
 generating a happens-before relationship that explains events between the vehicle and other vehicles before the standoff, wherein the standoff is a dispute for a right of way between the vehicle and the other vehicles; 
 identifying the standoff using a causality relationship analysis according to the happens-before relationship having vehicle routes with temporal features associated with the standoff; 
 generating a mitigation plan, using a machine learning model, for the standoff that forms standoff solutions in association with the standoff being similar to a prior standoff, the mitigation plan including a tree having node parameters that adapt to completion statuses for vehicle maneuvers associated with the standoff solutions; and 
 resolving the standoff by causing the vehicle maneuvers associated with the vehicle according to the standoff solutions. 
 
     
     
       14. The method of  claim 13 , wherein identifying the standoff further comprises communicating other solutions for additional causality relationship analysis associated with tasks completed with the other vehicles using a vehicular micro-cloud for the standoff. 
     
     
       15. The method of  claim 13 , wherein generating the mitigation plan further comprises creating the tree having adaptive steps of vehicle actions performed in association with the vehicle maneuvers using the machine learning model to form the standoff solutions. 
     
     
       16. The method of  claim 15 , further comprising:
 updating the tree upon completion of respective ones of the vehicle actions and communicating the tree to the other vehicles to resolve the standoff. 
 
     
     
       17. The method  claim 13 , further comprising:
 adapting the standoff solutions using the machine learning model according to vehicle actions rejected for the prior standoff to identify additional solutions for resolving the standoff. 
 
     
     
       18. The method  claim 13 , further comprising:
 analyzing vehicle actions associated with the standoff solutions using a reinforcement learning model that rewards a vehicle action and provides a next vehicle action to resolve the standoff. 
 
     
     
       19. The method of  claim 13 , further comprising:
 detecting the standoff associated with the other vehicles using crowd-sourced data from a connected vehicle network to reduce a time to resolve the standoff. 
 
     
     
       20. The method of  claim 13 , further comprising:
 collecting additional data from the other vehicles, connected devices, an edge server, or a cloud server associated with a connected vehicle network on a condition that the standoff is unresolved; and 
 updating a database with the standoff solutions according to the additional data.